Comments (1)
lib/Mixture/Simple/Multinomial/MultinomialSampler.cpp:80:50: required from here
/home/quentin/R/x86_64-pc-linux-gnu-library/4.1/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
In file included from /home/quentin/R/x86_64-pc-linux-gnu-library/4.1/RcppEigen/include/Eigen/Core:277,
from /home/quentin/R/x86_64-pc-linux-gnu-library/4.1/RcppEigen/include/Eigen/Dense:1,
from lib/LinAlg/LinAlg.h:28,
from lib/Mixture/IMixture.h:27,
from lib/Mixture/Simple/Multinomial/MultinomialSampler.cpp:23:
/home/quentin/R/x86_64-pc-linux-gnu-library/4.1/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >’:
/home/quentin/R/x86_64-pc-linux-gnu-library/4.1/RcppEigen/include/Eigen/src/Core/MapBase.h:115:7: required from ‘const Scalar& Eigen::MapBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>; Eigen::MapBase<Derived, 0>::Scalar = double; Eigen::Index = long int]’
lib/Mixture/Simple/Multinomial/../../../Data/../Statistic/MultinomialStatistic.h:58:12: required from ‘int mixt::MultinomialStatistic::sample(const T&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>]’
lib/Mixture/Simple/Multinomial/MultinomialSampler.cpp:60:70: required from here
/home/quentin/R/x86_64-pc-linux-gnu-library/4.1/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1042:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
1042 | enum {
| ^
In file included from /home/quentin/R/x86_64-pc-linux-gnu-library/4.1/RcppEigen/include/Eigen/Core:164,
from /home/quentin/R/x86_64-pc-linux-gnu-library/4.1/RcppEigen/include/Eigen/Dense:1,
from lib/LinAlg/LinAlg.h:28,
from lib/Mixture/IMixture.h:27,
from lib/Mixture/Simple/Multinomial/MultinomialSampler.cpp:23:
/home/quentin/R/x86_64-pc-linux-gnu-library/4.1/RcppEigen/include/Eigen/src/Core/MapBase.h: In instantiation of ‘const Scalar& Eigen::MapBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>; Eigen::MapBase<Derived, 0>::Scalar = double; Eigen::Index = long int]’:
lib/Mixture/Simple/Multinomial/../../../Data/../Statistic/MultinomialStatistic.h:58:12: required from ‘int mixt::MultinomialStatistic::sample(const T&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>]’
lib/Mixture/Simple/Multinomial/MultinomialSampler.cpp:60:70: required from here
/home/quentin/R/x86_64-pc-linux-gnu-library/4.1/RcppEigen/include/Eigen/src/Core/MapBase.h:15:88: error: static assertion failed: YOU_ARE_TRYING_TO_USE_AN_INDEX_BASED_ACCESSOR_ON_AN_EXPRESSION_THAT_DOES_NOT_SUPPORT_THAT
15 | EIGEN_STATIC_ASSERT((int(internal::evaluator<Derived>::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/quentin/R/x86_64-pc-linux-gnu-library/4.1/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro ‘EIGEN_STATIC_ASSERT’
33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG);
| ^
/home/quentin/R/x86_64-pc-linux-gnu-library/4.1/RcppEigen/include/Eigen/src/Core/MapBase.h:115:7: note: in expansion of macro ‘EIGEN_STATIC_ASSERT_INDEX_BASED_ACCESS’
115 | EIGEN_STATIC_ASSERT_INDEX_BASED_ACCESS(Derived)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/quentin/R/x86_64-pc-linux-gnu-library/4.1/RcppEigen/include/Eigen/Core:271,
from /home/quentin/R/x86_64-pc-linux-gnu-library/4.1/RcppEigen/include/Eigen/Dense:1,
from lib/LinAlg/LinAlg.h:28,
from lib/Mixture/IMixture.h:27,
from lib/Mixture/Simple/Multinomial/MultinomialSampler.cpp:23:
/home/quentin/R/x86_64-pc-linux-gnu-library/4.1/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’:
/home/quentin/R/x86_64-pc-linux-gnu-library/4.1/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar = double]’
/home/quentin/R/x86_64-pc-linux-gnu-library/4.1/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
/home/quentin/R/x86_64-pc-linux-gnu-library/4.1/RcppEigen/include/Eigen/src/Core/Redux.h:463:73: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
lib/Mixture/Simple/Multinomial/MultinomialSampler.cpp:80:50: required from here
/home/quentin/R/x86_64-pc-linux-gnu-library/4.1/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(2) double’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
make[1]: *** [/usr/lib/R/etc/Makeconf:177 : lib/Mixture/Simple/Multinomial/MultinomialSampler.o] Erreur 1
from mixtcomp.
Related Issues (20)
- CI fails on jenkins HOT 2
- basic_mode modifies the user's data set
- Add hierarchical mode for functional data in pyMixtComp
- trigger github actions on path events
- warning: use of bitwise with boolean operands
- Compile PyMixtComp produces a .dylib file and not .os HOT 2
- boost version warning HOT 1
- Create docker image for universal usage
- Enforce minum python version and packages' versions
- clang16 warnings HOT 3
- Use c++17 as default instead of c++
- Use std distribution instead of boost ones HOT 1
- std::iterator is deprecated in c++17
- add a github action with clang17
- RMixtCompIO tests fail on windows with R < 4.3
- One test fails on 32-bit: Error: cannot allocate vector of size 381.5 Mb HOT 1
- c++ warnings ignoring return value
- RMixtComp does not work on windows 11
- RMixtCompIO does not compile on clang 17
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from mixtcomp.